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Data Science with Python : Full Tutorial on Windows Pc

Developed By: AndroFrenzy

License: Free

Rating: 5,0/5 - 1 votes

Last Updated: April 19, 2024

Download on Windows PC

Compatible with Windows 10/11 PC & Laptop

App Details

Version 1.2
Size 4 MB
Release Date September 14, 20
Category Education Apps

App Permissions:
Allows applications to open network sockets. [see more (2)]

Description from Developer:
Data science is the process of deriving knowledge and insights from a huge and diverse set of data through organizing, processing and analysing the data. It involves many different... [read more]

App preview ([see all 7 screenshots])

App preview

About this app

On this page you can download Data Science with Python : Full Tutorial and install on Windows PC. Data Science with Python : Full Tutorial is free Education app, developed by AndroFrenzy. Latest version of Data Science with Python : Full Tutorial is 1.2, was released on 2020-09-14 (updated on 2024-04-19). Estimated number of the downloads is more than 500. Overall rating of Data Science with Python : Full Tutorial is 5,0. Generally most of the top apps on Android Store have rating of 4+. This app had been rated by 1 users, 1 users had rated it 5*, 1 users had rated it 1*.

How to install Data Science with Python : Full Tutorial on Windows?

Instruction on how to install Data Science with Python : Full Tutorial on Windows 10 Windows 11 PC & Laptop

In this post, I am going to show you how to install Data Science with Python : Full Tutorial on Windows PC by using Android App Player such as BlueStacks, LDPlayer, Nox, KOPlayer, ...

Before you start, you will need to download the APK/XAPK installer file, you can find download button on top of this page. Save it to easy-to-find location.

[Note] You can also download older versions of this app on bottom of this page.

Below you will find a detailed step-by-step guide, but I want to give you a fast overview of how it works. All you need is an emulator that will emulate an Android device on your Windows PC and then you can install applications and use it - you see you're playing it on Android, but this runs not on a smartphone or tablet, it runs on a PC.

If this doesn't work on your PC, or you cannot install, comment here and we will help you!

Step By Step Guide To Install Data Science with Python : Full Tutorial using BlueStacks

  1. Download and Install BlueStacks at: https://www.bluestacks.com. The installation procedure is quite simple. After successful installation, open the Bluestacks emulator. It may take some time to load the Bluestacks app initially. Once it is opened, you should be able to see the Home screen of Bluestacks.
  2. Open the APK/XAPK file: Double-click the APK/XAPK file to launch BlueStacks and install the application. If your APK/XAPK file doesn't automatically open BlueStacks, right-click on it and select Open with... Browse to the BlueStacks. You can also drag-and-drop the APK/XAPK file onto the BlueStacks home screen
  3. Once installed, click "Data Science with Python : Full Tutorial" icon on the home screen to start using, it'll work like a charm :D

[Note 1] For better performance and compatibility, choose BlueStacks 5 Nougat 64-bit read more

[Note 2] about Bluetooth: At the moment, support for Bluetooth is not available on BlueStacks. Hence, apps that require control of Bluetooth may not work on BlueStacks.

How to install Data Science with Python : Full Tutorial on Windows PC using NoxPlayer

  1. Download & Install NoxPlayer at: https://www.bignox.com. The installation is easy to carry out.
  2. Drag the APK/XAPK file to the NoxPlayer interface and drop it to install
  3. The installation process will take place quickly. After successful installation, you can find "Data Science with Python : Full Tutorial" on the home screen of NoxPlayer, just click to open it.

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Download older versions

Other versions available: 1.2.

Download Data Science with Python : Full Tutorial 1.2 on Windows PC – 4 MB

Data science is the process of deriving knowledge and insights from a huge and diverse set of data through organizing, processing and analysing the data. It involves many different disciplines like mathematical and statistical modelling, extracting data from it source and applying data visualization techniques. Often it also involves handling big data technologies to gather both structured and unstructured data. Below we will see some example scenarios where Data science is used.

Chapters Included

Data Science Introduction
Data Science Environment Setup
Pandas
Numpy
Matplotlib

Data Operations
Data cleansing
Processing CSV Data
Processing JSON Data
Processing XLS Data
Relational databases
NoSQL Databases
Date and Time
Data Wrangling
Data Aggregation
Reading HTML Pages
Processing Unstructured Data
word tokenization
Stemming and Lemmatization

Chart Properties
Chart Styling
Box Plots
Heat Maps
Scatter Plots
Bubble Charts
3D Charts
Time Series
Geographical Data
Graph Data

Measuring Central Tendency
Measuring Variance
Normal Distribution
Binomial Distribution
Poisson Distribution
Bernoulli Distribution
P-Value
Correlation
Chi-square Test
Linear Regression
Allows applications to open network sockets.
Allows applications to access information about networks.